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Overview
AI
Contribute by translating lessons
For Educators
How to Run the Code
Getting Started with this Curricula
Game Jam
Introduction to AI
Build an Ontology
Knowledge Representation and Expert Systems
Multi-Class Classification with Perceptron
Introduction to Neural Networks: Perceptron
MNIST Classification with Our Own Framework
Introduction to Neural Networks. Multi-Layered Perceptron
Classification with PyTorch/TensorFlow
Neural Network Frameworks
Introduction to Neural Networks
Detecting Movements using Optical Flow
Introduction to Computer Vision
Well-Known CNN Architectures
Classification of Pets Faces
Convolutional Neural Networks
Classification of Oxford Pets using Transfer Learning
Pre-trained Networks and Transfer Learning
Deep Learning Training Tricks
Autoencoders
Generative Adversarial Networks
Head Detection using Hollywood Heads Dataset
Object Detection
Human Body Segmentation
Segmentation
Computer Vision
Assignment: Notebooks
Representing Text as Tensors
Assignment: Notebooks
Embeddings
Training Skip-Gram Model
Language Modeling
Assignment: Notebooks
Recurrent Neural Networks
Word-level Text Generation using RNNs
Generative networks
Assignment: Transformers
Attention Mechanisms and Transformers
NER
Named Entity Recognition
Pre-Trained Large Language Models
Natural Language Processing
Genetic Algorithms
Training Mountain Car to Escape
Deep Reinforcement Learning
NetLogo Assignment
Multi-Agent Systems
Ethical and Responsible AI
Multi-Modal Networks
Artificial Intelligence for Beginners - A Curriculum
Security
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